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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. 6-RES-JB
    11. 13762
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    Explanations

    adjectives or nouns related to perceptions or feelings

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to emotions and subjective perceptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umbn
    -0.79
    perty
    -0.70
    cue
    -0.66
    sight
    -0.65
    nect
    -0.65
    hooting
    -0.64
    videos
    -0.64
    ices
    -0.64
    aband
    -0.63
    eni
    -0.63
    POSITIVE LOGITS
     urgency
    0.71
     unanim
    0.70
     acknowledgement
    0.66
    IENT
    0.66
     linkage
    0.66
     that
    0.65
     belief
    0.64
     impat
    0.64
     reluctance
    0.64
     pervasive
    0.63
    Activations Density 0.187%

    No Known Activations