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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 3280
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    Explanations

    phrases related to reaffirmation or reiteration

    oai_token-act-pair · gpt-3.5-turbo

    words related to restating or confirming previous statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.76
    erenn
    -0.73
    bestos
    -0.71
    iop
    -0.70
    gins
    -0.70
    oping
    -0.69
    iox
    -0.68
     noses
    -0.66
    ©¶æ
    -0.65
    enium
    -0.65
    POSITIVE LOGITS
     reaff
    0.90
    irmation
    0.87
     affirmation
    0.83
    irmed
    0.82
     vows
    0.81
     reiter
    0.81
    irming
    0.78
     affirm
    0.77
    raints
    0.76
     declarations
    0.75
    Activations Density 0.036%

    No Known Activations