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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. 4-RES-JB
    11. 19596
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    Explanations

    phrases related to breeding, containment, and brevity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to brewing and containment in various contexts

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

    No Comments

    Negative Logits
    ing
    -0.86
    ians
    -0.73
    iated
    -0.72
     skelet
    -0.71
    inatory
    -0.71
    inx
    -0.71
    ingham
    -0.69
     thous
    -0.68
    wich
    -0.68
    heny
    -0.68
    POSITIVE LOGITS
    practice
    0.79
    amaz
    0.73
    sweet
    0.66
    axis
    0.65
     Pwr
    0.64
     comprehension
    0.64
    Fram
    0.63
    oiler
    0.62
    gger
    0.62
    onge
    0.62
    Activations Density 0.039%

    No Known Activations