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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
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    Explanations

    mentions of the location "Canton"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Cant" and its variations

    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
    ãģį
    -0.83
    CVE
    -0.76
    ¯¯¯¯¯¯¯¯
    -0.74
    Reviewer
    -0.71
    vernment
    -0.70
    ously
    -0.66
    ãģ®é
    -0.65
    issance
    -0.65
    gnu
    -0.64
    PDATE
    -0.63
    POSITIVE LOGITS
    illon
    1.18
    rell
    1.07
    onso
    1.04
    een
    0.99
    aign
    0.95
    rip
    0.91
    esian
    0.88
    aleb
    0.88
    onal
    0.86
    alon
    0.85
    Activations Density 0.023%

    No Known Activations