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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. 6-RES-JB
    11. 1606
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    Explanations

    emphatic expressions conveying strong approval or disapproval

    oai_token-act-pair · gpt-3.5-turbo

    the word "absolutely" and its repeated emphasis in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    engers
    -0.81
    ioned
    -0.78
    jri
    -0.78
    ulative
    -0.76
    NetMessage
    -0.76
    ulton
    -0.72
    iem
    -0.72
    board
    -0.72
    sonian
    -0.67
    nan
    -0.67
    POSITIVE LOGITS
     delighted
    0.67
     devast
    0.66
     Vader
    0.66
    reme
    0.65
     adore
    0.65
    ove
    0.65
    urious
    0.65
     fascinated
    0.64
    olkien
    0.63
     defin
    0.62
    Activations Density 0.016%

    No Known Activations