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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. 20278
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    Explanations

    words related to abundance, excess, or large quantities

    oai_token-act-pair · gpt-3.5-turbo

    words that denote qualities or characteristics

    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
    UTC
    -0.68
     tabl
    -0.68
    VP
    -0.66
    ICAN
    -0.66
    URA
    -0.66
    ARP
    -0.65
     largeDownload
    -0.65
    IPP
    -0.64
    arations
    -0.64
     Roth
    -0.64
    POSITIVE LOGITS
    ious
    1.47
    ness
    1.18
    nesses
    1.06
    ity
    0.97
    lihood
    0.97
    iously
    0.93
    theless
    0.85
    vous
    0.84
    liness
    0.82
    lly
    0.78
    Activations Density 0.018%

    No Known Activations