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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. 3843
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    Explanations

    mentions of mobile applications or technology apps

    oai_token-act-pair · gpt-3.5-turbo

    instances of the substring "app"

    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
    EStreamFrame
    -0.77
    tymology
    -0.65
     sidx
    -0.63
     knots
    -0.62
     dive
    -0.60
     knot
    -0.60
     guiActiveUn
    -0.60
    ktop
    -0.59
    Lenin
    -0.59
    κ
    -0.58
    POSITIVE LOGITS
    earance
    1.49
    ointment
    1.35
    lied
    1.19
    alach
    1.18
    arently
    1.17
    eared
    1.15
    arent
    1.14
    ears
    1.14
    earances
    1.14
    oint
    1.08
    Activations Density 0.021%

    No Known Activations