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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 5439
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    oai_token-act-pair · gpt-3.5-turbo

    references to specific research articles or academic formatting

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

    No Comments

    Negative Logits
     convol
    -0.72
    BIP
    -0.71
     exha
    -0.68
     incent
    -0.68
     probation
    -0.68
     reluct
    -0.67
    merce
    -0.67
     bargaining
    -0.65
     Bind
    -0.64
     predec
    -0.62
    POSITIVE LOGITS
    ional
    1.01
    ory
    0.95
    omatic
    0.90
    olkien
    0.90
    iary
    0.89
    iger
    0.86
    anu
    0.86
    acker
    0.85
    eless
    0.85
    icism
    0.85
    Activations Density 0.013%

    No Known Activations