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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. 15854
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    Explanations

    mentions of locations and political figures

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly periods

    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
     NCT
    -0.73
    igo
    -0.73
    ãĥ¼ãĥĨãĤ£
    -0.66
    OY
    -0.63
    ola
    -0.62
    Output
    -0.62
    verbs
    -0.62
    oris
    -0.61
    onom
    -0.61
    Availability
    -0.60
    POSITIVE LOGITS
    uits
    0.75
    imentary
    0.67
    nesday
    0.65
    ternity
    0.63
    avorite
    0.63
    taboola
    0.61
    lication
    0.60
    adena
    0.60
     citing
    0.60
    DAQ
    0.59
    Activations Density 0.041%

    No Known Activations