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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. 9-RES-JB
    11. 22851
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    INDEX
    Explanations

    sentences indicating the need for appropriate actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    suggestions for improvement or action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.80
    isode
    -0.64
     Maver
    -0.64
    elist
    -0.63
     sling
    -0.61
     Dying
    -0.59
     Dollar
    -0.58
    cel
    -0.57
     Moody
    -0.56
    Advertisements
    -0.56
    POSITIVE LOGITS
     beh
    1.17
     imperative
    1.12
    ceivable
    1.06
     incumbent
    0.99
     conceivable
    0.98
     advisable
    0.98
     possible
    0.95
     prudent
    0.94
     permissible
    0.93
     impossible
    0.92
    Activations Density 0.359%

    No Known Activations