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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. 4384
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    Explanations

    mentions of specific locations or places

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "to be" in various forms and contexts

    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
    sonian
    -0.85
     Releases
    -0.69
     Highlights
    -0.68
     Response
    -0.66
     Sins
    -0.62
    inav
    -0.61
     Neb
    -0.61
     Shall
    -0.61
     Offer
    -0.61
     Letters
    -0.60
    POSITIVE LOGITS
    nt
    0.90
     substituted
    0.81
     deemed
    0.80
    çĶ°
    0.79
     replaced
    0.79
     indistinguishable
    0.77
     inevitably
    0.76
     supposed
    0.76
     absent
    0.75
     predominant
    0.75
    Activations Density 0.370%

    No Known Activations