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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. 3213
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    INDEX
    Explanations

    mentions of television networks and news anchors

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific media outlet or show

    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
     recalling
    -0.66
     Strauss
    -0.65
    tained
    -0.64
    ========
    -0.63
    ãĤ©
    -0.63
     2600
    -0.60
     Judaism
    -0.59
    rities
    -0.59
     joking
    -0.57
     Rite
    -0.57
    POSITIVE LOGITS
    erver
    1.18
    ettings
    1.03
    gt
    1.02
    aunders
    0.93
    ync
    0.91
    mith
    0.91
    ession
    0.90
    emonic
    0.90
    ertodd
    0.89
    fw
    0.84
    Activations Density 0.005%

    No Known Activations