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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. 10-RES-JB
    11. 21437
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    Explanations

    past tense forms of the verb "to be" (was, were) followed by a descriptor

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating past experiences or roles of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aceae
    -0.76
     strains
    -0.73
    eways
    -0.71
     crumble
    -0.71
    ageddon
    -0.69
    inventoryQuantity
    -0.69
    ieties
    -0.68
    izens
    -0.68
    ashes
    -0.67
    inav
    -0.67
    POSITIVE LOGITS
     chairman
    1.28
     president
    1.22
     deputy
    1.19
     employed
    1.17
     treasurer
    1.17
     director
    1.15
     assistant
    1.14
     secretary
    1.13
     Assistant
    1.10
     hired
    1.09
    Activations Density 0.228%

    No Known Activations