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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. 1-RES-JB
    11. 16157
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    Explanations

    words related to a specific name or entity, "Fleming", especially in conjunction with specific actions or events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals and entities, particularly those related to media and journalism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.84
    è¦ļéĨĴ
    -0.79
     Mellon
    -0.77
    urated
    -0.70
    inators
    -0.70
     {}
    -0.69
    own
    -0.68
    SHIP
    -0.67
    ournaments
    -0.67
    iques
    -0.66
    POSITIVE LOGITS
    edi
    0.84
    ctr
    0.76
    uve
    0.75
    axis
    0.71
    igree
    0.68
    film
    0.66
     grounding
    0.66
     isot
    0.66
    cipl
    0.65
     Gand
    0.65
    Activations Density 0.013%

    No Known Activations