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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. 7-RES-JB
    11. 18730
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    Explanations

    adjectives expressing subjective evaluation

    oai_token-act-pair · gpt-3.5-turbo

    evaluative adjectives describing experiences or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĺãĥ©
    -0.69
    iru
    -0.67
     elig
    -0.65
    é¾į
    -0.65
    OULD
    -0.63
     Awakens
    -0.62
    =-=-=-=-=-=-=-=-
    -0.60
     Gleaming
    -0.60
    anges
    -0.59
     ingred
    -0.59
    POSITIVE LOGITS
     lately
    1.09
     since
    1.00
     awhile
    0.90
     fruitful
    0.86
     unsuccessful
    0.77
     successful
    0.76
     recently
    0.76
     productive
    0.72
    sson
    0.70
     steady
    0.70
    Activations Density 0.318%

    No Known Activations