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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
    11. 9274
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    Explanations

    mentions of overwhelming emotions or actions

    oai_token-act-pair · gpt-3.5-turbo

    the word "OV" and related variations in the context of media or communication

    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
    folk
    -0.80
    tera
    -0.78
    urer
    -0.76
    mates
    -0.75
    holder
    -0.75
    inav
    -0.75
    ãĥĵ
    -0.74
    craft
    -0.74
    cht
    -0.74
    measures
    -0.71
    POSITIVE LOGITS
    ELY
    1.20
    MENT
    1.17
    OSE
    1.16
    ES
    1.13
    ABLE
    1.12
    ENDED
    1.11
    BLIC
    1.10
    ING
    1.09
    ED
    1.07
    OL
    1.06
    Activations Density 0.020%

    No Known Activations