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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. 2-RES-JB
    11. 17221
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    Explanations

    words related to failures or negative outcomes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to failures or negative outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ingham
    -0.75
    othermal
    -0.74
    venants
    -0.74
    trak
    -0.71
    atures
    -0.71
    ignty
    -0.68
    otine
    -0.68
     weights
    -0.66
    types
    -0.66
    akens
    -0.66
    POSITIVE LOGITS
    erella
    0.82
     mishand
    0.78
    itous
    0.78
     disastrous
    0.77
    ilton
    0.74
     bung
    0.73
     botched
    0.72
     miser
    0.72
     Spac
    0.71
     Ukrain
    0.69
    Activations Density 0.026%

    No Known Activations