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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. 9514
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    Explanations

    named entities related to various entities such as organizations, locations, and individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or names of organizations and entities

    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
     aisle
    -0.75
     stalk
    -0.67
     regress
    -0.65
    ividual
    -0.63
     carrier
    -0.63
    ++++++++++++++++
    -0.63
     carriers
    -0.63
     technologically
    -0.62
    ------------------------------------------------
    -0.62
    isites
    -0.62
    POSITIVE LOGITS
    Var
    0.69
    acia
    0.68
    Nap
    0.66
    Op
    0.65
    iva
    0.65
    Keys
    0.63
    UE
    0.62
    Ub
    0.62
    wat
    0.62
    OTOS
    0.62
    Activations Density 0.244%

    No Known Activations