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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. 0-RES-JB
    11. 6802
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    Explanations

    words related to planning or intention

    oai_token-act-pair · gpt-3.5-turbo

    words related to conspiracy or inspirational themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ->
    -0.64
     Corrections
    -0.63
     Tot
    -0.60
     decom
    -0.60
     variables
    -0.60
    ZZ
    -0.59
     DI
    -0.59
     Statistical
    -0.59
    atis
    -0.59
     offsets
    -0.58
    POSITIVE LOGITS
    pired
    4.59
    pires
    4.14
    pire
    3.62
    piring
    3.00
    piration
    2.04
    pir
    1.65
    actionDate
    1.20
    cription
    1.13
     aspire
    1.10
    pecting
    1.03
    Activations Density 0.018%

    No Known Activations