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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. 9268
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    INDEX
    Explanations

    mentions of people's names

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals or entities

    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
    tenance
    -0.76
    Reloaded
    -0.75
    SPONSORED
    -0.71
    MAP
    -0.70
    âĶĢâĶĢâĶĢâĶĢ
    -0.67
    Mos
    -0.65
    vertising
    -0.64
    Newsletter
    -0.63
    trak
    -0.63
    COM
    -0.63
    POSITIVE LOGITS
    arde
    0.78
    ás
    0.77
    atta
    0.68
    pires
    0.68
    ajo
    0.68
    onga
    0.66
    gha
    0.66
    ibu
    0.64
    asma
    0.64
    opa
    0.63
    Activations Density 0.338%

    No Known Activations