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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    the word "Pod" with varying activations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "pod" in various contexts

    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
    ãĤ¼ãĤ¦ãĤ¹
    -0.80
     WARN
    -0.75
    ãĥ¼ãĥ³
    -0.75
    å°Ĩ
    -0.73
    FUL
    -0.72
    inventoryQuantity
    -0.71
    listed
    -0.69
    tesy
    -0.68
    ãĤ¤ãĥĪ
    -0.67
    ãĤ´ãĥ³
    -0.65
    POSITIVE LOGITS
     Pod
    1.18
    iatric
    1.12
    casters
    1.07
    caster
    1.05
    esta
    1.01
    pod
    1.00
    ols
    0.90
    iat
    0.86
    ucer
    0.84
     pod
    0.83
    Activations Density 0.010%

    No Known Activations