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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. 11830
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    Explanations

    verbs related to desire or intention

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing desires or intentions concerning involvement and participation

    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
    soever
    -0.75
     transpired
    -0.66
     guiActiveUn
    -0.64
     pse
    -0.62
    ABC
    -0.62
     Laf
    -0.61
     precincts
    -0.61
     permitting
    -0.60
     Sched
    -0.59
     Cosponsors
    -0.59
    POSITIVE LOGITS
    uate
    0.76
    thood
    0.73
    anything
    0.68
    ãĤ¦
    0.68
     someday
    0.67
    unic
    0.66
    ezvous
    0.66
    igion
    0.65
     disruptive
    0.64
    ãĥĥãĤ¯
    0.64
    Activations Density 0.194%

    No Known Activations