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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. 24206
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    Explanations

    mentions of tasks, requests, or questions followed by potential actions or conditions, typically related to devices or services

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate possession or ownership

    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
    Js
    -0.72
    "},
    -0.72
     Eag
    -0.68
    ãĥķ
    -0.65
    Els
    -0.63
    Hum
    -0.61
    EVA
    -0.60
    Dub
    -0.59
    Balt
    -0.59
    ARP
    -0.58
    POSITIVE LOGITS
     unsure
    0.86
     interested
    0.74
    audi
    0.70
     lucky
    0.70
     inclined
    0.70
     bothered
    0.68
     offended
    0.66
     undecided
    0.64
     subscribed
    0.64
    oubted
    0.63
    Activations Density 0.151%

    No Known Activations