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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. 3674
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    Explanations

    mentions of the location "Bristol" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific geographical locations, particularly Bristol

    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
    aminer
    -0.77
    avez
    -0.72
    idon
    -0.70
    alog
    -0.70
    ropri
    -0.69
    adena
    -0.68
    prise
    -0.68
    ifer
    -0.67
    atra
    -0.65
    efer
    -0.65
    POSITIVE LOGITS
    shed
    0.78
    ruary
    0.71
    ienne
    0.71
    reath
    0.68
    bent
    0.68
    anches
    0.67
    flies
    0.67
    ello
    0.65
     Blitz
    0.64
     Rahman
    0.64
    Activations Density 0.045%

    No Known Activations