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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. 4-RES-JB
    11. 20146
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    Explanations

    words related to negative actions or situations, particularly those associated with disruption or conflict

    oai_token-act-pair · gpt-3.5-turbo

    words related to negative or disheartening situations

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

    No Comments

    Negative Logits
     Pose
    -0.71
     Suit
    -0.70
    OPLE
    -0.70
     Goth
    -0.70
     Juliet
    -0.70
    DragonMagazine
    -0.67
     Reach
    -0.66
     Mothers
    -0.66
    akeru
    -0.65
     Merrill
    -0.64
    POSITIVE LOGITS
    rup
    1.17
    burse
    1.07
    affected
    1.06
    ordered
    1.06
    associated
    1.04
    array
    1.03
    assemb
    1.03
    qus
    1.03
    quiet
    1.02
    organized
    1.02
    Activations Density 0.008%

    No Known Activations