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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. 8-RES-JB
    11. 11568
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    Explanations

    the word "zero" occurring in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to “zero tolerance” policies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.93
    akov
    -0.71
    RAW
    -0.70
    rough
    -0.70
    lov
    -0.70
    regor
    -0.68
    icken
    -0.66
    trl
    -0.65
    nikov
    -0.64
    ammad
    -0.63
    POSITIVE LOGITS
     Hedge
    0.92
    MQ
    0.91
     tolerance
    0.86
     percent
    0.76
     Gravity
    0.76
    eros
    0.75
     amount
    0.75
    xd
    0.71
     Escape
    0.71
    xff
    0.70
    Activations Density 0.033%

    No Known Activations