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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. 2-RES-JB
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    Explanations

    mentions of the company "Yahoo"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Yahoo"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    displayText
    -0.78
    nered
    -0.76
    FUL
    -0.73
    ateral
    -0.68
    orescent
    -0.65
    skirts
    -0.65
    aunder
    -0.64
    Redditor
    -0.64
    iard
    -0.63
    usher
    -0.63
    POSITIVE LOGITS
    ahoo
    0.97
     Haram
    0.71
     Yahoo
    0.71
    tags
    0.69
    ilipp
    0.65
    tag
    0.64
     Doodle
    0.63
    CN
    0.62
    VM
    0.62
     Opinion
    0.61
    Activations Density 0.009%

    No Known Activations