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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. 1-RES-JB
    11. 13549
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    Explanations

    the word 'did' followed by a number indicating the strength of an action

    oai_token-act-pair · gpt-3.5-turbo

    the word "did" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Methods
    -0.71
    north
    -0.69
    Tier
    -0.69
    Asia
    -0.68
     Hok
    -0.67
    armed
    -0.67
    Tai
    -0.67
     caliber
    -0.67
     Taiwan
    -0.63
    phant
    -0.63
    POSITIVE LOGITS
    ĸļ
    1.19
     confir
    0.95
    actic
    0.88
    pez
    0.85
     not
    0.82
    bley
    0.78
    nt
    0.78
     condem
    0.77
     conclud
    0.77
    omsday
    0.76
    Activations Density 0.052%

    No Known Activations