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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. 1204
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    INDEX
    Explanations

    verbs related to communication or assertion

    oai_token-act-pair · gpt-3.5-turbo

    actions and statements related to communication and belief

    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
     prest
    -0.58
    lear
    -0.55
     ones
    -0.54
    esides
    -0.54
    enegger
    -0.53
    ecd
    -0.53
     theirs
    -0.52
    nat
    -0.50
     aspir
    -0.48
     appe
    -0.48
    POSITIVE LOGITS
    actionDate
    0.73
     âĵĺ
    0.64
    CLAIM
    0.64
    phis
    0.63
    recated
    0.61
    CLUS
    0.61
    "]=>
    0.61
    MpServer
    0.61
     SHARES
    0.58
     sqor
    0.58
    Activations Density 0.215%

    No Known Activations