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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. 9-RES-JB
    11. 3143
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    Explanations

    texts related to specific individuals or companies

    oai_token-act-pair · gpt-3.5-turbo

    special signifiers or delimiters in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arial
    -0.95
    ional
    -0.87
    uate
    -0.81
    ariat
    -0.79
    inates
    -0.77
    urn
    -0.77
    ion
    -0.76
    inally
    -0.74
    antine
    -0.73
    orescent
    -0.70
    POSITIVE LOGITS
    nesday
    1.44
    restling
    0.99
    ashington
    0.87
    atche
    0.86
    ITNESS
    0.84
    edge
    0.84
    atts
    0.81
    fare
    0.81
    Beg
    0.76
    isconsin
    0.75
    Activations Density 0.222%

    No Known Activations