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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. 9-RES-JB
    11. 17553
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    Explanations

    phrases containing the word "demonstrations" or related words

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "str" and its variations, indicating a focus on string or structure-based content in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fully
    -0.71
    WR
    -0.66
    phal
    -0.65
    eph
    -0.65
    ERG
    -0.64
    foot
    -0.64
    country
    -0.63
    fulness
    -0.63
    eka
    -0.62
    EStreamFrame
    -0.61
    POSITIVE LOGITS
    ained
    1.26
    uments
    1.15
    aining
    1.15
    ainer
    1.09
    ategy
    1.07
    ains
    1.05
    icken
    0.99
    aints
    0.97
    ain
    0.91
    ategic
    0.90
    Activations Density 0.045%

    No Known Activations