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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. 6-RES-JB
    11. 3032
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    Explanations

    specific names or terms related to institutions, organizations, or events

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific entity or character associated with "Gr."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eers
    -0.79
    ĸļ
    -0.74
    )=(
    -0.71
     shortened
    -0.64
    doors
    -0.61
    ership
    -0.60
    vention
    -0.60
    phrine
    -0.60
     Blazers
    -0.57
    enegger
    -0.57
    POSITIVE LOGITS
    iffin
    1.17
    udge
    1.11
    umpy
    1.09
    ains
    1.07
    asp
    1.05
    anny
    1.04
    ands
    1.03
    illing
    1.03
    itt
    1.01
    illed
    1.01
    Activations Density 0.018%

    No Known Activations