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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
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    Explanations

    phrases where encouragement is expressed towards people or groups

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "encourage" and its derivatives

    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
     Nanto
    -0.78
    thing
    -0.70
    parts
    -0.67
    dain
    -0.66
    edom
    -0.64
    angler
    -0.63
     Rite
    -0.63
    ember
    -0.62
    thin
    -0.61
    atism
    -0.61
    POSITIVE LOGITS
     encourage
    0.90
     encourages
    0.88
    ="#
    0.84
     discouraged
    0.83
     encouraged
    0.82
     incent
    0.82
     discour
    0.75
    wcs
    0.75
     encouraging
    0.73
    GGGGGGGG
    0.72
    Activations Density 0.016%

    No Known Activations