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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. 0-RES-JB
    11. 10304
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    Explanations

    words related to ascending or escalation

    oai_token-act-pair · gpt-3.5-turbo

    words related to ascensions or upward movements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     messaging
    -0.82
     ware
    -0.80
     smokes
    -0.73
     refuel
    -0.68
     grounded
    -0.67
     Wi
    -0.67
     dummy
    -0.66
     flying
    -0.66
     nets
    -0.65
     botched
    -0.64
    POSITIVE LOGITS
    asc
    4.60
    ASC
    1.81
    ascist
    1.63
    asp
    1.40
    asca
    1.36
    ascal
    1.29
    esc
    1.21
    occ
    1.20
     Asc
    1.19
    acl
    1.17
    Activations Density 0.025%

    No Known Activations