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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. 11-RES-JB
    11. 23151
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    Explanations

    uncommon or rare words

    oai_token-act-pair · gpt-3.5-turbo

    words related to negation or lack, often in a controversial context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.69
     simulations
    -0.68
     culture
    -0.68
     tone
    -0.65
     freeze
    -0.64
    tone
    -0.63
     bull
    -0.63
     Days
    -0.63
     spirit
    -0.62
     phases
    -0.61
    POSITIVE LOGITS
    structed
    1.18
    achable
    1.15
    served
    1.08
    ported
    1.03
    formed
    0.99
    hibited
    0.99
    readable
    0.95
    pressed
    0.94
    ainted
    0.92
    irable
    0.92
    Activations Density 0.040%

    No Known Activations