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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
    11. 24054
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    Explanations

    references or mentions of the company "Yahoo"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company Yahoo

    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
    Redditor
    -0.78
    ateral
    -0.72
    displayText
    -0.72
    nered
    -0.69
    ingham
    -0.68
     Uriel
    -0.67
    kj
    -0.67
    FUL
    -0.67
    avery
    -0.66
    forced
    -0.66
    POSITIVE LOGITS
    ahoo
    0.91
    tags
    0.82
     View
    0.71
    Talk
    0.69
     Finance
    0.69
    tag
    0.68
    conn
    0.67
     Consult
    0.66
     News
    0.66
    CN
    0.65
    Activations Density 0.010%

    No Known Activations