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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. 307
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    Explanations

    phrases related to negative impacts or harm

    oai_token-act-pair · gpt-3.5-turbo

    terms related to societal impacts and reputation

    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
     Chrys
    -0.60
     disclaim
    -0.58
    joining
    -0.57
    accompanied
    -0.55
    oscopic
    -0.55
     exhaustive
    -0.54
    married
    -0.54
    oret
    -0.53
    ipher
    -0.53
    onyms
    -0.53
    POSITIVE LOGITS
     unnecessarily
    0.79
     altogether
    0.76
     :(
    0.70
     morale
    0.70
    .:
    0.70
     sensibilities
    0.69
    !:
    0.68
    .</
    0.66
    balance
    0.66
     balance
    0.66
    Activations Density 0.505%

    No Known Activations