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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. 1-RES-JB
    11. 15677
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    Explanations

    quantities related to cost or amount

    oai_token-act-pair · gpt-3.5-turbo

    the concept of quantity or degree

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    İĭ
    -0.80
    atures
    -0.78
    oresc
    -0.71
    itent
    -0.71
    fman
    -0.71
    utton
    -0.71
    emy
    -0.69
    atur
    -0.69
    agate
    -0.68
    ocent
    -0.68
    POSITIVE LOGITS
     ado
    0.78
     MUCH
    0.77
     exposition
    0.69
     appreciated
    0.68
     emphasis
    0.67
     simpler
    0.67
     alike
    0.66
     differently
    0.66
     surpr
    0.65
     EQU
    0.64
    Activations Density 0.051%

    No Known Activations