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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. 9-RES-JB
    11. 10010
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    INDEX
    Explanations

    acceptance and positive characteristics in text

    oai_token-act-pair · gpt-3.5-turbo

    themes related to spirituality and personal beliefs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assic
    -0.80
     vibe
    -0.70
    internet
    -0.68
     takeaway
    -0.68
    Ops
    -0.67
    Todd
    -0.67
    NY
    -0.67
    apeake
    -0.66
    crazy
    -0.65
     lawy
    -0.65
    POSITIVE LOGITS
     thence
    1.36
     unto
    1.33
     forth
    1.27
     oneself
    1.21
     thereto
    1.19
     thee
    1.19
     Himself
    1.19
     thereby
    1.13
     anew
    1.12
     whence
    1.10
    Activations Density 0.403%

    No Known Activations