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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. 3-RES-JB
    11. 15631
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    Explanations

    phrases related to identification or recognition of specific entities or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the act of recognizing or discovering something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orld
    -0.81
    fare
    -0.72
    perty
    -0.72
    bare
    -0.70
    orah
    -0.68
    imeo
    -0.66
    ovie
    -0.64
     raining
    -0.64
     acquitted
    -0.63
     presided
    -0.62
    POSITIVE LOGITS
    ively
    0.81
     è£ıè
    0.78
    ãĤ©
    0.78
    ãĤ¿
    0.78
     Ident
    0.72
     Identification
    0.71
     Disorders
    0.70
     identifies
    0.69
    Ident
    0.68
    ives
    0.68
    Activations Density 0.026%

    No Known Activations