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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. 8-RES-JB
    11. 8414
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    Explanations

    phrases starting with "Through" followed by some kind of context or action

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a process or progression over time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    juven
    -0.81
    \/
    -0.80
    etus
    -0.75
    abet
    -0.75
    ãĥī
    -0.71
    CTV
    -0.66
    ript
    -0.66
    ailable
    -0.64
    hyde
    -0.63
     realise
    -0.61
    POSITIVE LOGITS
     intermedi
    0.93
     sheer
    0.81
    OUT
    0.79
    put
    0.76
    shaw
    0.74
     attrition
    0.74
    out
    0.73
     waivers
    0.73
    lace
    0.70
     channels
    0.69
    Activations Density 0.051%

    No Known Activations