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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. 1-RES-JB
    11. 9507
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    Explanations

    phrases related to people in large numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to large groups of people, particularly in a socio-political context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cer
    -0.79
    tein
    -0.78
    ces
    -0.76
    Acknowled
    -0.74
    Es
    -0.70
    cknowled
    -0.67
    ten
    -0.66
    vious
    -0.66
    Britain
    -0.64
    ce
    -0.63
    POSITIVE LOGITS
     masses
    1.26
     tremend
    0.83
    olutions
    0.77
    urch
    0.76
    roots
    0.73
    astered
    0.73
    ourcing
    0.72
    uling
    0.71
    ngth
    0.71
    urion
    0.71
    Activations Density 0.007%

    No Known Activations