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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. 13601
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    Explanations

    references to product brands or names related to technology and entertainment industries

    oai_token-act-pair · gpt-3.5-turbo

    specific abbreviations and shorthand related to promotional or marketing content

    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
    iform
    -0.83
    omorphic
    -0.79
    nor
    -0.75
    enberg
    -0.75
    imore
    -0.74
    geons
    -0.74
    atom
    -0.73
    zzle
    -0.73
    fitting
    -0.72
    sta
    -0.72
    POSITIVE LOGITS
    Ps
    1.17
    Bs
    1.16
    OX
    1.12
    AX
    1.11
    HO
    1.09
    OST
    1.09
    OB
    1.08
    IAS
    1.08
    IN
    1.08
    INT
    1.07
    Activations Density 0.099%

    No Known Activations