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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. 3-RES-JB
    11. 24514
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    Explanations

    words related to negative or harmful actions or qualities

    oai_token-act-pair · gpt-3.5-turbo

    words related to serious harm or danger

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mitt
    -0.67
    WD
    -0.66
     Peg
    -0.66
    EA
    -0.63
    EAR
    -0.61
    BU
    -0.61
    cuts
    -0.60
    ORD
    -0.60
     Veil
    -0.60
    flush
    -0.59
    POSITIVE LOGITS
    ous
    2.02
    ously
    1.96
    istically
    1.16
    iously
    1.12
    istic
    1.03
    uously
    1.01
    uses
    1.00
    ues
    0.99
    OUS
    0.98
    osity
    0.94
    Activations Density 0.025%

    No Known Activations