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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. 4-RES-JB
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    Explanations

    names of television hosts and anchors

    oai_token-act-pair · gpt-3.5-turbo

    references to television show hosts

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

    No Comments

    Negative Logits
    20439
    -0.75
     Rite
    -0.70
    MpServer
    -0.69
    ysc
    -0.66
    olin
    -0.65
     IMAGES
    -0.64
    zb
    -0.63
     progressing
    -0.62
    aiden
    -0.61
    illard
    -0.60
    POSITIVE LOGITS
    esses
    1.08
     host
    0.82
    host
    0.82
     Host
    0.77
     Emin
    0.77
    ess
    0.77
     hosts
    0.72
    Host
    0.71
    ãĥ¼ãĥĨãĤ£
    0.71
    oway
    0.70
    Activations Density 0.015%

    No Known Activations