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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 17401
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    oai_token-act-pair · gpt-3.5-turbo

    concepts related to legal and ethical violations

    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
     HIT
    -0.78
    Rap
    -0.77
    SHIP
    -0.66
     GN
    -0.64
    eatures
    -0.64
    obal
    -0.64
    Aut
    -0.63
    nen
    -0.63
     Mock
    -0.63
    iosyn
    -0.60
    POSITIVE LOGITS
     syndrome
    0.75
    !,
    0.69
    "}],"
    0.66
     (%)
    0.66
     etc
    0.65
     ¯
    0.65
     ¶
    0.64
     (?,
    0.63
     Baird
    0.61
     (
    0.60
    Activations Density 0.685%

    No Known Activations