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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. 8-RES-JB
    11. 1301
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    Explanations

    mentions of things that are large, heavy, or unwieldy

    oai_token-act-pair · gpt-3.5-turbo

    words related to classification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awaru
    -0.76
     htt
    -0.66
     rece
    -0.66
     Territory
    -0.66
    EMENT
    -0.64
     Palestin
    -0.63
     Democr
    -0.60
    MODE
    -0.59
    TAIN
    -0.59
    PLIED
    -0.59
    POSITIVE LOGITS
    ipper
    1.21
    ojure
    1.19
    amped
    1.18
    ashing
    1.16
    avier
    1.15
    ogged
    1.14
    amps
    1.14
    iques
    1.08
    utch
    1.07
    ique
    1.07
    Activations Density 0.014%

    No Known Activations