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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. 11-RES-JB
    11. 1570
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    INDEX
    Explanations

    phrases indicating a high level of performance or success

    oai_token-act-pair · gpt-3.5-turbo

    phrases that mention the quality or effectiveness of a job or performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.76
    UGE
    -0.66
     Desire
    -0.65
    fty
    -0.64
    raltar
    -0.63
    scl
    -0.63
    actionDate
    -0.63
    arser
    -0.61
    gins
    -0.59
    auri
    -0.59
    POSITIVE LOGITS
     educating
    1.15
     capturing
    1.12
     portraying
    1.09
     protecting
    1.09
     keeping
    1.09
     communicating
    1.08
     integrating
    1.08
     documenting
    1.06
     illustrating
    1.05
     executing
    1.05
    Activations Density 0.071%

    No Known Activations