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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. 16662
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals associated with a sports team, particularly in relation to the Everton Football Club

    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
    pter
    -0.91
    ming
    -0.89
    mia
    -0.86
    cling
    -0.85
    rha
    -0.82
    nan
    -0.82
    pill
    -0.81
    anguage
    -0.80
    gio
    -0.77
    fare
    -0.76
    POSITIVE LOGITS
    ively
    0.88
    omes
    0.87
    ors
    0.84
    herty
    0.74
    ives
    0.69
    Mods
    0.68
    ctr
    0.66
    ions
    0.65
    arella
    0.65
    iveness
    0.65
    Activations Density 0.139%

    No Known Activations