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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. 6-RES-JB
    11. 15232
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    INDEX
    Explanations

    tech companies' names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of major technology companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tml
    -0.78
    ãĤ©
    -0.75
     Niet
    -0.74
    geries
    -0.72
     UNC
    -0.66
     Cth
    -0.63
     Uriel
    -0.62
    akespe
    -0.60
    cific
    -0.60
     Frie
    -0.60
    POSITIVE LOGITS
    conn
    1.02
     Technologies
    0.92
     Corporation
    0.90
     Ventures
    0.89
     CEO
    0.84
     Corp
    0.83
     Holdings
    0.81
    Shares
    0.79
     Stores
    0.77
    's
    0.75
    Activations Density 0.124%

    No Known Activations