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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. 15865
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    Explanations

    words related to investigation and instigation

    oai_token-act-pair · gpt-3.5-turbo

    words related to investigation or inquiry

    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
     perenn
    -0.74
     Seym
    -0.72
     weap
    -0.71
    efully
    -0.65
    roe
    -0.65
    inton
    -0.65
     technicians
    -0.64
     pra
    -0.64
     constitu
    -0.63
     stocking
    -0.63
    POSITIVE LOGITS
    igator
    0.96
    igators
    0.85
     largeDownload
    0.84
    quished
    0.82
    TAIN
    0.81
    igated
    0.80
    displayText
    0.80
    igating
    0.78
    igate
    0.78
    selage
    0.76
    Activations Density 0.025%

    No Known Activations