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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. 276
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    Explanations

    mentions of geographical locations combined with negative situations or conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to regulations and restrictions in a facility or environment

    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
    stellar
    -0.82
    NAS
    -0.77
    STEM
    -0.72
     Sponsor
    -0.71
    Tyler
    -0.71
    podcast
    -0.70
    NASA
    -0.68
     Specifically
    -0.67
    Forward
    -0.66
     Lamar
    -0.66
    POSITIVE LOGITS
     villagers
    1.04
     bribe
    1.00
     cafes
    0.98
     medicines
    0.97
     neighbours
    0.97
     locals
    0.95
     tourists
    0.95
     labou
    0.91
     practise
    0.90
     neighbouring
    0.89
    Activations Density 1.797%

    No Known Activations