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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. 7-RES-JB
    11. 9740
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    Explanations

    phrases often starting with "what kind of"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that inquire about types or categories of things

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interstitial
    -0.79
    culated
    -0.76
    esty
    -0.72
    YR
    -0.69
    pty
    -0.65
    ¶æ
    -0.64
    binding
    -0.64
    KO
    -0.64
    ĸļ
    -0.63
    chy
    -0.63
    POSITIVE LOGITS
     impressions
    0.83
     qualifies
    0.82
     interests
    0.78
     constitutes
    0.75
     tastes
    0.74
     havoc
    0.69
     habits
    0.69
    ?",
    0.67
     deductions
    0.66
    ?:
    0.66
    Activations Density 0.036%

    No Known Activations