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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. 4767
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    Explanations

    words related to mental illnesses or states of extreme mental distress

    oai_token-act-pair · gpt-3.5-turbo

    terms related to insanity and madness

    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
    fman
    -0.85
    yer
    -0.72
    ribute
    -0.71
    çĦ
    -0.70
    lected
    -0.69
    ributed
    -0.68
    angular
    -0.67
    arest
    -0.67
    rounder
    -0.66
    pta
    -0.65
    POSITIVE LOGITS
     insanity
    0.86
     insane
    0.82
     asylum
    0.81
     plea
    0.79
     maniac
    0.77
    agascar
    0.75
     madness
    0.70
    abama
    0.70
     Asylum
    0.69
    rid
    0.68
    Activations Density 0.018%

    No Known Activations