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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. 16180
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    Explanations

    words related to physical objects such as signposts, plates, logs, and stands

    oai_token-act-pair · gpt-3.5-turbo

    words related to various types of posts, listings, or documents

    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
    Reviewer
    -0.72
    NL
    -0.70
     SERV
    -0.68
     tremend
    -0.67
     upfront
    -0.66
     uncond
    -0.65
    anyl
    -0.64
    Ô
    -0.61
    NA
    -0.60
    DR
    -0.60
    POSITIVE LOGITS
    theless
    0.98
    ingly
    0.83
    arted
    0.82
    tenance
    0.76
    lihood
    0.75
    ifix
    0.74
    itude
    0.73
    iously
    0.72
    sson
    0.70
    ology
    0.68
    Activations Density 0.162%

    No Known Activations