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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. 23900
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    Explanations

    mentions of a specific keyword, "Raw" in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "raw" in various contexts

    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
    etheless
    -0.85
    agements
    -0.80
    ommel
    -0.71
    itism
    -0.68
    atural
    -0.67
    agall
    -0.65
    ately
    -0.65
    pmwiki
    -0.65
    ŃĶ
    -0.64
     Gardens
    -0.63
    POSITIVE LOGITS
    hide
    1.49
    ls
    1.22
    lings
    1.19
    lins
    1.14
     sewage
    1.10
    esome
    1.03
     materials
    0.97
    kus
    0.89
    waters
    0.82
    cliffe
    0.81
    Activations Density 0.028%

    No Known Activations