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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. 1-RES-JB
    11. 8034
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    Explanations

    names of people or entities

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals, particularly those associated with events or entities in a specific context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ħ
    -0.69
    AST
    -0.66
    mate
    -0.66
    é£
    -0.64
    Offline
    -0.64
    į
    -0.63
    udeb
    -0.60
    racted
    -0.60
    said
    -0.58
     mates
    -0.58
    POSITIVE LOGITS
    zman
    1.11
    xual
    1.01
    ividual
    0.98
    xon
    0.94
    igham
    0.92
    hyde
    0.84
    irez
    0.84
    ython
    0.82
    ulic
    0.77
    oux
    0.77
    Activations Density 0.014%

    No Known Activations