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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. 4-RES-JB
    11. 1086
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    Explanations

    events or entities written in uppercase letters

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or initials that signify organizations or specific terms

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

    No Comments

    Negative Logits
    jri
    -0.61
    ĪĴ
    -0.59
    ŃĶ
    -0.56
    sticks
    -0.54
    HCR
    -0.54
     gravy
    -0.53
    umenthal
    -0.53
     bump
    -0.52
    Raven
    -0.52
    ħĭ
    -0.51
    POSITIVE LOGITS
    lass
    0.89
    ividual
    0.81
    uable
    0.76
    raft
    0.74
     manner
    0.72
     midst
    0.70
     fashion
    0.68
     context
    0.66
     haste
    0.65
    ãĤ¨ãĥ«
    0.65
    Activations Density 0.077%

    No Known Activations