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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. 6-RES-JB
    11. 16998
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    Explanations

    pronouns and verbs related to conversational interactions

    oai_token-act-pair · gpt-3.5-turbo

    pronouns related to individuals and their actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arios
    -0.72
    formed
    -0.67
    continental
    -0.65
     Template
    -0.63
    lc
    -0.60
    ACP
    -0.59
    atlantic
    -0.59
    §
    -0.59
    semb
    -0.59
    emale
    -0.59
    POSITIVE LOGITS
     uncond
    0.73
     orally
    0.65
     tyr
    0.64
    folk
    0.64
     foss
    0.61
     Majesty
    0.60
     BIT
    0.60
     enthus
    0.60
     misunder
    0.60
     gently
    0.59
    Activations Density 0.194%

    No Known Activations