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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. 3-RES-JB
    11. 3358
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    Explanations

    names of individuals or characters

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CTR
    -0.76
    Ĥİ
    -0.75
    ership
    -0.74
    eering
    -0.71
    ©¶æ
    -0.69
    igated
    -0.69
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.68
    vous
    -0.68
    secut
    -0.67
    etics
    -0.67
    POSITIVE LOGITS
    agnar
    0.87
    resso
    0.75
    raits
    0.71
    incinn
    0.71
     Argent
    0.68
    phans
    0.65
     Grim
    0.64
    avez
    0.64
    thodox
    0.63
     seas
    0.62
    Activations Density 0.025%

    No Known Activations