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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
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    Explanations

    adjectives related to negative emotions and intense behavior

    oai_token-act-pair · gpt-3.5-turbo

    intense and negative descriptors related to aggression and extremism

    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
    acea
    -0.82
    annis
    -0.77
    yer
    -0.76
    ayers
    -0.73
    ramid
    -0.71
    iture
    -0.70
    inoa
    -0.68
    inez
    -0.68
    è£ħ
    -0.67
    akeru
    -0.67
    POSITIVE LOGITS
    ly
    1.10
    ocity
    0.91
    bol
    0.78
     ferocious
    0.77
    ling
    0.77
     venom
    0.74
    thro
    0.72
    etically
    0.72
     fury
    0.70
    iously
    0.70
    Activations Density 0.026%

    No Known Activations