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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. 7-RES-JB
    11. 14569
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    Explanations

    words related to news agencies and press organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to news agencies or journalism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iday
    -0.90
    icum
    -0.84
    acca
    -0.81
    atical
    -0.78
    anchester
    -0.77
    sonian
    -0.76
    ocular
    -0.76
    omial
    -0.74
    amac
    -0.73
    acea
    -0.71
    POSITIVE LOGITS
    phal
    0.96
    ment
    0.89
    lessly
    0.84
     Lauder
    0.71
    ance
    0.71
    llor
    0.70
    ea
    0.70
    ence
    0.69
    ively
    0.68
    forth
    0.68
    Activations Density 0.051%

    No Known Activations