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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. 18855
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    Explanations

    expressions of uncertainty or interest such as "ok", "mmm", "hmm"

    oai_token-act-pair · gpt-3.5-turbo

    expressions of uncertainty or hesitation

    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
    Lago
    -0.67
    due
    -0.65
    /
    -0.64
    iership
    -0.63
    actionDate
    -0.63
     Siber
    -0.61
    paid
    -0.61
    election
    -0.61
     confir
    -0.60
    ourse
    -0.58
    POSITIVE LOGITS
    mmm
    0.96
    terday
    0.92
    hhh
    0.92
    hhhh
    0.91
     yeah
    0.90
     kidding
    0.90
    yeah
    0.89
     prest
    0.87
     yea
    0.82
     pardon
    0.82
    Activations Density 0.079%

    No Known Activations