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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 666
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    Explanations

    locations, specifically cities

    oai_token-act-pair · gpt-3.5-turbo

    the word 'to' when it is used with a strong likelihood or expectation of an action or outcome

    oai_token-act-pair · gpt-4-turbo

    prepositions indicating direction or movement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atin
    -0.81
    ahime
    -0.80
    onga
    -0.68
    natureconservancy
    -0.66
    agra
    -0.63
    reddits
    -0.62
    gently
    -0.62
     disapprove
    -0.61
     Supported
    -0.61
    amaru
    -0.60
    POSITIVE LOGITS
    istration
    0.83
    inness
    0.70
     attendance
    0.69
    energy
    0.64
    Ire
    0.63
     Flynn
    0.62
     ABV
    0.62
    arity
    0.61
    Russ
    0.61
     Decay
    0.60
    Activations Density 0.000%

    No Known Activations