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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. 8-RES-JB
    11. 11036
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    Explanations

    structured phrases indicating a step-by-step process or sequence of actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a downward motion or decline

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HCR
    -0.73
     âĶľ
    -0.73
     privately
    -0.70
     SERV
    -0.65
     MSG
    -0.65
     EntityItem
    -0.63
     citiz
    -0.63
     Confederation
    -0.62
     jurisdiction
    -0.61
    ufact
    -0.60
    POSITIVE LOGITS
    out
    1.22
    forward
    1.20
    up
    1.14
    through
    1.13
    outs
    1.12
    toe
    1.12
    ups
    1.12
    down
    1.11
    away
    1.09
    downs
    1.05
    Activations Density 0.090%

    No Known Activations