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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. 7-RES-JB
    11. 9506
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    INDEX
    Explanations

    expressions of value or desirability

    oai_token-act-pair · gpt-3.5-turbo

    expressions of worthiness or value related to experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avage
    -0.59
    erved
    -0.59
    pta
    -0.59
    present
    -0.59
     guiIcon
    -0.58
    hips
    -0.58
    ordinate
    -0.58
     Passenger
    -0.58
     VIEW
    -0.56
    arthed
    -0.56
    POSITIVE LOGITS
    alian
    1.10
    chy
    1.09
    self
    0.90
    iner
    0.83
    ueller
    0.82
    unes
    0.77
     Anyway
    0.76
    atic
    0.75
    icult
    0.74
     raining
    0.73
    Activations Density 0.118%

    No Known Activations