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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. 2-RES-JB
    11. 21220
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    INDEX
    Explanations

    mentions of rehabilitation or rehab programs

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rehabilitation and recovery processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Dad
    -0.69
    anza
    -0.69
    ween
    -0.66
     Flan
    -0.66
     minute
    -0.64
    DN
    -0.63
     Wilde
    -0.63
    anto
    -0.60
    leep
    -0.60
    gian
    -0.58
    POSITIVE LOGITS
    ilitation
    1.61
    ilitating
    1.50
     rehabilitation
    1.15
     Rehab
    1.09
     rehabilit
    1.03
     rehab
    1.02
    apist
    0.92
    spective
    0.88
     therap
    0.82
    eatures
    0.81
    Activations Density 0.012%

    No Known Activations