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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. 4-RES-JB
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    Explanations

    highly activated terms are related to the author "Elena Ferrante"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "rant" and its variations

    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
    ©¶æ
    -0.83
    ntil
    -0.78
     perspect
    -0.73
    OTOS
    -0.73
    prus
    -0.73
    akespe
    -0.71
    anticipated
    -0.68
    AW
    -0.67
    gettable
    -0.67
    pless
    -0.67
    POSITIVE LOGITS
    eca
    0.99
    cies
    0.92
    rant
    0.91
    iate
    0.90
    ially
    0.86
    enance
    0.86
    iary
    0.83
    rance
    0.81
    edly
    0.81
    cliffe
    0.79
    Activations Density 0.014%

    No Known Activations