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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. 4-RES-JB
    11. 13235
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    Explanations

    words related to locations or entities named "Ver" followed by other characters

    oai_token-act-pair · gpt-3.5-turbo

    words that refer to specific entities or subjects, particularly names and identifiers related to "Ver" concepts

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

    No Comments

    Negative Logits
     resil
    -0.74
    gerald
    -0.65
     sap
    -0.65
    ngth
    -0.65
     healed
    -0.63
    ascus
    -0.63
     backfield
    -0.63
     allowances
    -0.62
     nets
    -0.61
     sheds
    -0.60
    POSITIVE LOGITS
    ×Ļ×
    0.76
    OSE
    0.75
    kaya
    0.72
    ILLE
    0.71
    IFIED
    0.71
    osa
    0.68
    INAL
    0.67
    ALLY
    0.66
    ×Ļ
    0.65
    ius
    0.65
    Activations Density 0.123%

    No Known Activations